文件列表:

BM3D.m (21697, 2009-06-17)
BM3DDEB.m (17116, 2009-06-17)
BM3DSHARP.m (17668, 2009-06-17)
bm3d_thr.dll (200704, 2007-01-17)
bm3d_thr.mexa64 (180038, 2009-06-17)
bm3d_thr.mexglx (198707, 2009-05-27)
bm3d_thr.mexw32 (200704, 2007-01-17)
bm3d_thr.mexw64 (195584, 2008-10-17)
bm3d_thr_color.dll (151552, 2008-11-18)
bm3d_thr_color.mexa64 (110712, 2009-06-17)
bm3d_thr_color.mexglx (158284, 2008-11-18)
bm3d_thr_color.mexw32 (151552, 2008-11-18)
bm3d_thr_color.mexw64 (124928, 2008-10-17)
bm3d_thr_colored_noise.dll (217088, 2008-11-18)
bm3d_thr_colored_noise.mexa64 (175956, 2009-06-17)
bm3d_thr_colored_noise.mexglx (260360, 2008-11-18)
bm3d_thr_colored_noise.mexw32 (217088, 2008-11-18)
bm3d_thr_colored_noise.mexw64 (196608, 2008-10-16)
bm3d_thr_sharpen_var.dll (188416, 2008-11-18)
bm3d_thr_sharpen_var.mexa64 (144444, 2009-06-17)
bm3d_thr_sharpen_var.mexglx (235818, 2008-11-18)
bm3d_thr_sharpen_var.mexw32 (188416, 2008-11-18)
bm3d_thr_sharpen_var.mexw64 (158208, 2008-10-17)
bm3d_thr_video.dll (196608, 2007-03-12)
bm3d_thr_video.mexa64 (204696, 2009-06-17)
bm3d_thr_video.mexglx (166577, 2008-11-20)
bm3d_thr_video.mexw32 (196608, 2007-03-12)
bm3d_thr_video.mexw64 (193536, 2008-11-19)
bm3d_wiener.dll (131072, 2007-03-06)
bm3d_wiener.mexa64 (122697, 2009-06-17)
bm3d_wiener.mexglx (129108, 2009-05-27)
bm3d_wiener.mexw32 (131072, 2007-03-06)
bm3d_wiener.mexw64 (144896, 2008-10-17)
bm3d_wiener_color.dll (159744, 2008-11-18)
bm3d_wiener_color.mexa64 (122779, 2009-06-17)
bm3d_wiener_color.mexglx (170317, 2008-11-18)
bm3d_wiener_color.mexw32 (159744, 2008-11-18)
bm3d_wiener_color.mexw64 (150528, 2008-10-17)
bm3d_wiener_colored_noise.dll (155648, 2008-11-18)
bm3d_wiener_colored_noise.mexa64 (118615, 2009-06-17)
... ...

------------------------------------------------------------------ BM3D demo software for image/video restoration and enhancement Public release v1.6 (17 June 2009) ------------------------------------------------------------------ Copyright (c) 2006-2009 Tampere University of Technology. All rights reserved. This work should be used only for nonprofit purposes. Authors: Kostadin Dabov Alessandro Foi BM3D web page: http://www.cs.tut.fi/~foi/GCF-BM3D ------------------------------------------------------------------ Installation ------------------------------------------------------------------ Unzip both BM3D.zip (contains codes) and BM3D_images.zip (contains test images) in a folder that is in the MATLAB path. ------------------------------------------------------------------ Requirements ------------------------------------------------------------------ *) MS Windows (32- or ***-bit CPU) or Linux (32-bit or ***-bit CPU) *) Matlab v.6.5 or later with installed: -- Image Processing Toolbox (for visualization with "imshow"), ------------------------------------------------------------------ What's new in this release ------------------------------------------------------------------ v1.6 + Make few fixes to the "getTransfMatrix" internal function. Now, if used with default parameters, BM3D does not require neither Wavelet, PDE, nor Signal Processing toolbox. + Add support for x86_*** Linux v1.5.1 + Fix bugs for older versions of Matlab + Add support for 32-bit Linux + improve the structure of the VBM3D.m script v1.5 + Add x86_*** version of the MEX-files that run on ***-bit Matlab under Windows + Add a missing function in BM3DDEB.m + Improves some of the comments in the codes + Fix a bug in VBM3D when only a input noisy video is provided v1.4.1 + Fix a bug in the grayscale-image deblurring codes and make these codes compatible with Matlab 7 or newer versions. v1.4 + Add grayscale-image deblurring v1.3 + Add grayscale-image joint sharpening and denoising v1.2.1 + Fix the output of the VBM3D to be the final Wiener estimate rather than the intermedaite basic estimate + Fix a problem when the original video is provided as a 3D matrix v1.2. + Add grayscale-video denoising files v1.1.3. + Add support for Linux x86-compatible platforms v1.1.2. + Fixed bugs related with Matlab v.6.1 v1.1.1. + Fixed bugs related with Matlab v.6 (e.g., "isfloat" was not available and "imshow" did not work with single precision) + Improved the usage examples shown by executing "help BM3D" or "help CBM3D" MATLAB commands v1.1. + Fixed a bug in comparisons of the image sizes, which was causing problems when executing "CBM3D(1,z,sigma);" + Fixed a bug that was causing a crash when the input images are of type "uint8" + Fixed a problem that has caused some versions of imshow to report an error + Fixed few typos in the comments of the functions + Made the parameters of the BM3D and the C-BM3D the same v1.0. Initial version. ------------------------------------------------------------------ Contents ------------------------------------------------------------------ The package comprises these functions *) BM3D.m : BM3D grayscale-image denoising [1] *) CBM3D.m : C-BM3D RGB-image denoising [2] *) VBM3D.m : V-BM3D grayscale-video denoising [3] *) BM3DSHARP.m : BM3D-SH3D grayscale-image sharepening & denoising [4] *) BM3DDEB.m : BM3D-DEB grayscale-image deblurring [5] For help on how to use these scripts, you can e.g. use "help BM3D" or "help CBM3D". Each demo calls a pair of MEX-functions. These MEX functions have an extensive interface that allows to change all possible parameters used in the algorithm from within the corresponding M-file. The BM3D.m function uses: *) bm3d_thr.dll : Step 1 of the algorithm presented in [1], using collaborative hard-thresholding (HT) *) bm3d_wiener.dll: Step 2 of the algorithm presented in [1], using collaborative Wiener filtering The CBM3D.m function uses: *) bm3d_thr_color.dll : Step 1 of the algorithm presented in [2] using collaborative hard-thresholding and grouping constraint on the chrominances *) bm3d_wiener_color.dll: Step 2 of the algorithm presented in [2] using collaborative Wiener filtering and grouping constraint on the chrominances The VBM3D.m function uses: *) bm3d_thr_video.dll : Step 1 of the algorithm presented in [3], using collaborative hard-thresholding (HT) *) bm3d_wiener_video.dll: Step 2 of the algorithm presented in [3], using collaborative Wiener filtering The BM3DSHARP.m function uses: *) bm3d_thr_sharpen_var.dll: Implements the BM3D-SH3D joint sharpening and filtering using BM3D developed in [4]. The BM3DDEB.m function uses: *) bm3d_thr_colored_noise.dll : Colored-noise suprression used in Step 1 in [5], *) bm3d_wiener_colored_noise.dll: Colored-noise suprression used in Step 2 in [5], ------------------------------------------------------------------ Publications ------------------------------------------------------------------ [1] K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Image denoising by sparse 3D transform-domain collaborative filtering," IEEE Trans. Image Process., vol. 16, no. 8, August 2007. [2] K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Color image denoising via sparse 3D collaborative filtering with grouping constraint in luminance-chrominance space," Proc. IEEE Int. Conf. Image Process., ICIP 2007, San Antonio, TX, USA, September 2007. [3] K. Dabov, A. Foi, and K. Egiazarian, "Video denoising by sparse 3D transform-domain collaborative filtering," Proc. European Signal Process. Conf., EUSIPCO 2007, Poznan, Poland, September 2007. [4] K. Dabov, A. Foi, V. Katkovnik, and K. Egiazarian, "Joint image sharpening and denoising by 3D transform-domain collaborative filtering," Proc. 2007 Int. TICSP Workshop Spectral Meth. Multirate Signal Process., SMMSP 2007, Moscow, Russia, September 2007. [5] K. Dabov, A. Foi, and K. Egiazarian, "Image restoration by sparse 3D transform-domain collaborative filtering," Proc. SPIE Electronic Imaging, January 2008. ------------------------------------------------------------------ Future additions ------------------------------------------------------------------ Image processing techniques based on the BM3D filtering: - signal-dependent noise removal, (Updates, examples, publications, presentations, etc. can be found at http://www.cs.tut.fi/~foi/GCF-BM3D) ------------------------------------------------------------------ Disclaimer ------------------------------------------------------------------ Any unauthorized use of these routines for industrial or profit- oriented activities is expressively prohibited. By downloading and/or using any of these files, you implicitly agree to all the terms of the TUT limited license: http://www.cs.tut.fi/~foi/GCF-BM3D/legal_notice.html ------------------------------------------------------------------ Feedback ------------------------------------------------------------------ If you have any comment, suggestion, or question, please do contact Kostadin Dabov at: dabov _at_ cs.tut.fi

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